rohanmukh opened a new pull request #8251:
URL: https://github.com/apache/tvm/pull/8251


   Current implementation of `batch_matmul` in TF frontend is not able to 
handle cases where the shape of the second input differs from the first and a 
broadcast is needed to complete the operation. Also, in the current logic it 
always assumed that the shape of second input `shape_y` is atleast of length 3. 
This is not the case is some TF2 models like 
(efficientdet)[https://tfhub.dev/tensorflow/efficientdet/d0/1]. This PR handles 
these use case. 
   
   Thanks for contributing to TVM!   Please refer to guideline 
https://tvm.apache.org/docs/contribute/ for useful information and tips. After 
the pull request is submitted, please request code reviews from 
[Reviewers](https://github.com/apache/incubator-tvm/blob/master/CONTRIBUTORS.md#reviewers)
 by @ them in the pull request thread.
   


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